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memsearch

⭐ 2,538 · ✅ active · plugin
Type plugin Category Memory & context
Stars ⭐ 2,538 Status ✅ active
Author zilliztech Updated —
Subcategory 🧠 Memory systems Capabilities memory

One-liner

Persistent, unified memory layer for all your AI agents (e.g. Claude Code, Codex, DSH), backed by Markdown and Milvus. / 面向所有 AI Agent（如 Claude Code、Codex、DSH）的持久化统一记忆层，基于 Markdown 与 Milvus。

About

  • DeepSeek Harness support — MemSearch now brings automatic capture, pre-step memory injection, native skill-based recall, background maintenance, and a read-only memory browser to DeepSeek Harness (DSH). - Skills from memory — MemSearch now distills the workflows you repeat into reusable, installable agent skills (a third "procedural memory" layer) and keeps them up to date in the background. See Skills from Memory. - Advanced memory maintenance — optional background tasks keep durable PROJECT.md and USER.md notes current across sessions. See Advanced Memory Maintenance. ---

✨ Key Features

  • DeepSeek Harness support — MemSearch now brings automatic capture, pre-step memory injection, native skill-based recall, background maintenance, and a read-
  • Skills from memory — MemSearch now distills the workflows you repeat into reusable, installable agent skills (a third "procedural memory" layer) and keeps t
  • Advanced memory maintenance — optional background tasks keep durable PROJECT.md and USER.md notes current across sessions. See [Advanced Memory Maintena

📦 Install

# Install
git clone --depth 1 https://github.com/zilliztech/memsearch.git
bash memsearch/plugins/codex/scripts/install.sh
codex --yolo  # needed for ONNX model network access

🚀 Quick Start

ls .memsearch/memory/

📚 Learn more

Install

git clone --depth 1 https://github.com/zilliztech/memsearch.git bash memsearch/plugins/codex/scripts/install.sh codex --yolo # needed for ONNX model network access After installing, chat as usual. Hooks capture and summarize each turn. Verify it's working: ls .memsearch/memory/ Recall memories — use the skill: $memory-recall what did we discuss about deployment? > 📖 [Codex Plugin docs](htt

Install the published plugin into your DSH profile

uv tool install "memsearch[onnx]" dsh plugin --profile web add @zilliz/memsearch-dsh

Install from ClawHub

openclaw plugins install --force clawhub:memsearch openclaw config set plugins.entries.memsearch.hooks.allowConversationAccess true openclaw config set plugins.entries.memsearch.hooks.allowPromptInjection true openclaw gateway restart After installing, chat in TUI as usual. The plugin captures each turn automatically. Verify it's working — memory files are stored in your agent's workspace:

🏗️ Architecture Overview

┌──────────────────────────────────────────────────────────────┐ │ 🧑‍💻 For Agent Users (Plugins) │ │ Claude Code · Codex · DSH · OpenClaw · OpenCode · Your App │ │ │ │ ├────────────────────────────┬─────────────────────────────────┤ │ 🛠️ For Agent Developers │ Build your own with ↓ │ │ ┌─────────────────────────┴──────────────────────────────┐ │ │ │ memsearch CLI / Python API │ │ │ │ index · searc